Moshe Givon

1.8k total citations
25 papers, 1.4k citations indexed

About

Moshe Givon is a scholar working on Marketing, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Moshe Givon has authored 25 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Marketing, 10 papers in Management Science and Operations Research and 10 papers in Economics and Econometrics. Recurrent topics in Moshe Givon's work include Consumer Market Behavior and Pricing (13 papers), Innovation Diffusion and Forecasting (8 papers) and Economic and Environmental Valuation (6 papers). Moshe Givon is often cited by papers focused on Consumer Market Behavior and Pricing (13 papers), Innovation Diffusion and Forecasting (8 papers) and Economic and Environmental Valuation (6 papers). Moshe Givon collaborates with scholars based in Israel, United States and Netherlands. Moshe Givon's co-authors include Eitan Muller, Vijay Mahajan, Dan Horsky, John Hogan, Barak Libai, Zur Shapira, Frank M. Bass, Gordon P. Wright, Manohar U. Kalwani and David J. Reibstein and has published in prestigious journals such as Journal of Marketing, Journal of Applied Psychology and Management Science.

In The Last Decade

Moshe Givon

25 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Moshe Givon Israel 16 798 342 289 243 228 25 1.4k
Gal Oestreicher-Singer Israel 16 470 0.6× 166 0.5× 108 0.4× 166 0.7× 664 2.9× 46 1.2k
Zhangxi Lin United States 20 430 0.5× 192 0.6× 259 0.9× 119 0.5× 695 3.0× 64 1.6k
Anjana Susarla United States 14 228 0.3× 171 0.5× 125 0.4× 285 1.2× 496 2.2× 50 1.4k
Sangman Han South Korea 8 404 0.5× 180 0.5× 122 0.4× 108 0.4× 442 1.9× 34 961
Nanda Kumar United States 17 771 1.0× 153 0.4× 202 0.7× 419 1.7× 216 0.9× 41 1.2k
Hailiang Chen Hong Kong 16 247 0.3× 422 1.2× 417 1.4× 241 1.0× 559 2.5× 56 1.8k
Ambar G. Rao United States 19 1.0k 1.3× 743 2.2× 470 1.6× 437 1.8× 248 1.1× 43 1.8k
Michel Ballings Belgium 15 356 0.4× 405 1.2× 176 0.6× 79 0.3× 399 1.8× 21 1.2k
Trichy V. Krishnan United States 12 625 0.8× 987 2.9× 430 1.5× 444 1.8× 214 0.9× 22 1.6k
Florian Stahl Germany 15 448 0.6× 142 0.4× 95 0.3× 211 0.9× 442 1.9× 52 1.0k

Countries citing papers authored by Moshe Givon

Since Specialization
Citations

This map shows the geographic impact of Moshe Givon's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Moshe Givon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moshe Givon more than expected).

Fields of papers citing papers by Moshe Givon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Moshe Givon. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Moshe Givon. The network helps show where Moshe Givon may publish in the future.

Co-authorship network of co-authors of Moshe Givon

This figure shows the co-authorship network connecting the top 25 collaborators of Moshe Givon. A scholar is included among the top collaborators of Moshe Givon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Moshe Givon. Moshe Givon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Landsman, Vardit & Moshe Givon. (2009). The diffusion of a new service: Combining service consideration and brand choice. Quantitative Marketing and Economics. 8(1). 91–121. 19 indexed citations
2.
Libai, Barak, et al.. (2001). Using Complex Systems Analysis to Advance Marketing Theory Development: Modeling Heterogeneity Effects on New Product Growth through Stochastic Cellular Automata. 253 indexed citations
3.
Givon, Moshe, Vijay Mahajan, & Eitan Muller. (1997). Assessing the relationship between the user-based market share and unit sales-based market share for pirated software brands in competitive markets. Technological Forecasting and Social Change. 55(2). 131–144. 28 indexed citations
4.
Givon, Moshe, Vijay Mahajan, & Eitan Muller. (1995). Software Piracy: Estimation of Lost Sales and the Impact on Software Diffusion. Journal of Marketing. 59(1). 29–29. 119 indexed citations
5.
Givon, Moshe, Vijay Mahajan, & Eitan Muller. (1995). Software Piracy: Estimation of Lost Sales and the Impact on Software Diffusion. Journal of Marketing. 59(1). 29–37. 270 indexed citations
6.
Givon, Moshe & Dan Horsky. (1994). Intertemporal aggregation of heterogeneous consumers. European Journal of Operational Research. 76(2). 273–282. 1 indexed citations
7.
Givon, Moshe & Dan Horsky. (1990). Untangling the Effects of Purchase Reinforcement and Advertising Carryover. Marketing Science. 9(2). 171–187. 80 indexed citations
8.
Givon, Moshe, et al.. (1987). Measurement of Discrimination Ability in Taste Tests: An Empirical Investigation. Journal of Marketing Research. 24(2). 154–163. 26 indexed citations
9.
Givon, Moshe & Arieh Goldman. (1987). Perceptual and preferential discrimination abilities in taste tests.. Journal of Applied Psychology. 72(2). 301–306. 1 indexed citations
10.
Buchanan, Bruce G., Moshe Givon, & Arieh Goldman. (1987). Measurement of Discrimination Ability in Taste Tests: An Empirical Investigation. Journal of Marketing Research. 24(2). 154–154. 17 indexed citations
11.
Givon, Moshe & Arieh Goldman. (1987). Perceptual and preferential discrimination abilities in taste tests.. Journal of Applied Psychology. 72(2). 301–306. 3 indexed citations
12.
Givon, Moshe & Dan Horsky. (1985). Homogeneity and heterogeneity in stochastic models of brand choice behavior. International Journal of Research in Marketing. 2(4). 263–272. 7 indexed citations
13.
Givon, Moshe & Zur Shapira. (1984). Response to Rating Scales: A Theoretical Model and Its Application to the Number of Categories Problem. Journal of Marketing Research. 21(4). 410–419. 48 indexed citations
14.
Bass, Frank M., Moshe Givon, Manohar U. Kalwani, David J. Reibstein, & Gordon P. Wright. (1984). An Investigation into the Order of the Brand Choice Process. Marketing Science. 3(4). 267–287. 99 indexed citations
15.
Givon, Moshe & Zur Shapira. (1984). Response to Rating Scales: A Theoretical Model and Its Application to the Number of Categories Problem. Journal of Marketing Research. 21(4). 410–410. 20 indexed citations
16.
Givon, Moshe. (1980). Determination of Optimal Sample Sizes in the Beta-Binomial Brand Choice Model. Journal of Marketing Research. 17(1). 58–58. 2 indexed citations
17.
Givon, Moshe. (1980). Determination of Optimal Sample Sizes in the Beta-Binomial Brand Choice Model. Journal of Marketing Research. 17(1). 58–62. 6 indexed citations
18.
Givon, Moshe & Dan Horsky. (1979). Application of a Composite Stochastic Model of Brand Choice. Journal of Marketing Research. 16(2). 258–267. 24 indexed citations
19.
Givon, Moshe & Dan Horsky. (1979). Application of a Composite Stochastic Model of Brand Choice. Journal of Marketing Research. 16(2). 258–258. 12 indexed citations
20.
Givon, Moshe & Dan Horsky. (1978). Market Share Models as Approximators of Aggregated Heterogeneous Brand Choice Behavior. Management Science. 24(13). 1404–1416. 30 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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